zachmayer/caretEnsemble — pull request #120 by zachmayer (2014-12-19 18:41:38+00:00)
Title: Cran review

Fixes for the CRAN review email:

On 18/12/2014 19:02, Zachary A. Mayer wrote:
[This was generated from CRAN.R-project.org/submit.html]

The following package was uploaded to CRAN:
===========================================

Package Information:
Package: caretEnsemble
Version: 1.0.0
Title: Framework for combining caret models into ensembles
Use title case: see 'Writing R Extensions',
Author(s): Zachary A. Mayer [aut, cre], Jared E. Knowles [aut]
Maintainer: Zachary A. Mayer
Depends: R (>= 3.1.0), caret
Suggests: testthat, randomForest, rpart, kernlab, nnet, e1071, ipred,
pROC, knitr, mlbench, MASS, gbm, klaR
Description: This package is built around 3 functions: caretList,

'This package' is redundant: what else might it be a description of?

caretEnsemble, and caretStack. caretList is a convenience
function for fitting multiple caret::train models to the same
dataset. caretEnsemble will make a linear combination of
these models using greedy forward selection, and caretList
will make linear or non-linear combinations of these models
using a caret model as a meta-model. Custom caret models are
not yet supported. Multi-class classification and
combinations mixing classification and regression models in
one ensemble are also not yet supported.

Describe the package, not what it is not.

License: MIT + file LICENSE
Imports: caTools, pbapply, ggplot2, digest, plyr, grid, lattice,
gridExtra

The maintainer confirms that he or she
has read and agrees to the CRAN policies.

Submitter's comment: This is a new submission to CRAN. It is a package
for creating ensembles of
caret models using greedy
selection or other caret models. It also has a
helper
function for fitting many caret models to one
set of re-sampled data.

# R CMD CHECK passes on:
##
Mac (via `devtools::check()` on my local machine):
No
error, warnings, or notes

## Ubuntu (via travis-ci
on github)
No error, warnings, or notes

## Windows
(via `devtools::build_win()`)
1 Note: New submission
(maintainer) I think it is safe for me to ignore this

For you yes, not for CRAN.

The examples run for too long (see the policies):

* checking tests ... [215s/214s] OK
Running ‘testthat.R’ [214s/214s]